Intro to Hadoop and MapReduce

  • 0.0
Approx. 1 months

Course Summary

Learn the basics of Hadoop and MapReduce and how to use them to process and analyze big data.

Key Learning Points

  • Understand the Hadoop Distributed File System (HDFS)
  • Learn MapReduce programming with Java
  • Use Pig and Hive to simplify analysis

Related Topics for further study


Learning Outcomes

  • Create a Hadoop cluster
  • Write MapReduce programs in Java
  • Use Pig and Hive for data analysis

Prerequisites or good to have knowledge before taking this course

  • Java programming experience
  • Familiarity with Linux command line

Course Difficulty Level

Intermediate

Course Format

  • Online, self-paced
  • Video lectures
  • Hands-on projects

Similar Courses

  • Big Data Analytics with Apache Spark
  • Data Engineering on Google Cloud Platform

Related Education Paths


Notable People in This Field

  • Creator of Hadoop
  • Head of Google Brain

Related Books

Description

In this short course, learn the fundamentals of MapReduce and Apache Hadoop to start making sense of Big Data in the real world!

Requirements

  • Lesson 1 does not have technical prerequisites and is a good overview of Hadoop and MapReduce for managers. To get the most out of the class, however, you need basic programming skills in Python on a level provided by introductory courses like our Introduction to Computer Science course. To learn more about Hadoop, you can also check out the book Hadoop: The Definitive Guide . See the Technology Requirements for using Udacity.

Knowledge

  • Instructor videosLearn by doing exercisesTaught by industry professionals

Outline

  • lesson 1 Big Data What is Big Data? The problems big data creates. How Apache Hadoop addresses these problems. lesson 2 HDFS and MapReduce Discover how HDFS distributes data over multiple computers. Learn how MapReduce enables analyzing datasets in parallel across multiple machines. lesson 3 MapReduce code Write your own MapReduce code. lesson 4 MapReduce Design Patterns Use common patterns for MapReduce programs to analyze Udacity forum data.

Summary of User Reviews

Discover the power of Hadoop and MapReduce with this introductory course from Udacity. Students rave about the course's thoroughness and clarity, praising the comprehensive explanations and well-structured curriculum. One key aspect that many users appreciate is the hands-on approach, which allows them to apply their newly acquired knowledge in real-world scenarios.

Pros from User Reviews

  • Thorough and clear explanations
  • Well-structured curriculum
  • Hands-on approach
  • Real-world scenarios
  • Great for beginners

Cons from User Reviews

  • Some users found the course too basic
  • Lack of advanced topics
  • No certificate of completion
  • Limited interaction with instructors
  • Requires prior programming knowledge
Free
Available now
Approx. 1 months
Sarah Sproehnle, Ian Wrigley, Gundega Dekena
Cloudera
Udacity

Instructor

Share
Saved Course list
Cancel
Get Course Update
Computer Courses